Triple

T18221978
Position Surface form Disambiguated ID Type / Status
Subject ESS E436328 entity
Predicate supportsLanguage P2177 FINISHED
Object S-PLUS NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: S-PLUS | Statement: [ESS, supportsLanguage, S-PLUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S-PLUS
Context triple: [ESS, supportsLanguage, S-PLUS]
  • A. S-PLUS chosen
    S-PLUS is a commercial implementation of the S programming language, widely used for advanced statistical analysis and data visualization.
  • B. SAS
    SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
  • C. SAS
    SAS is the standard abbreviation used for the Saskatoon Blades, a major junior ice hockey team in the Western Hockey League based in Saskatoon, Saskatchewan.
  • D. SAS
    SAS is a high-speed, point-to-point serial interface standard commonly used to connect enterprise storage devices like hard drives and solid-state drives to servers.
  • E. SAS
    SAS is the standard abbreviation used for the NBA team San Antonio Spurs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47c85108190bd9707b40bdfdb38 completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.